Point cloud classification is a fundamental LiDAR processing workflow used to organize and categorize LiDAR points into meaningful feature classes such as ground, vegetation, buildings, powerlines, roads, and water bodies. Accurate classification enhances data usability and supports terrain modeling, feature extraction, infrastructure analysis, and geospatial mapping applications.

Unique Maps provides high-quality point cloud classification services for infrastructure, utility, engineering, and geospatial projects. Using advanced classification algorithms, automated processing techniques, and rigorous quality control procedures, we deliver accurate and analysis-ready LiDAR datasets tailored to project-specific requirements.